EP1330814B1 - Preventing oscillations in flow systems - Google Patents

Preventing oscillations in flow systems Download PDF

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Publication number
EP1330814B1
EP1330814B1 EP00980088A EP00980088A EP1330814B1 EP 1330814 B1 EP1330814 B1 EP 1330814B1 EP 00980088 A EP00980088 A EP 00980088A EP 00980088 A EP00980088 A EP 00980088A EP 1330814 B1 EP1330814 B1 EP 1330814B1
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EP
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Prior art keywords
acoustic
electronic controller
acoustic waves
output device
waves
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German (de)
French (fr)
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EP1330814A1 (en
Inventor
Niek Doelman
René PARCHEN
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Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek TNO
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Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek TNO
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1787General system configurations
    • G10K11/17879General system configurations using both a reference signal and an error signal
    • G10K11/17881General system configurations using both a reference signal and an error signal the reference signal being an acoustic signal, e.g. recorded with a microphone
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785Methods, e.g. algorithms; Devices
    • G10K11/17853Methods, e.g. algorithms; Devices of the filter
    • G10K11/17854Methods, e.g. algorithms; Devices of the filter the filter being an adaptive filter
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785Methods, e.g. algorithms; Devices
    • G10K11/17855Methods, e.g. algorithms; Devices for improving speed or power requirements
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785Methods, e.g. algorithms; Devices
    • G10K11/17857Geometric disposition, e.g. placement of microphones
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/02Indexing codes associated with the analysed material
    • G01N2291/024Mixtures
    • G01N2291/02491Materials with nonlinear acoustic properties
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/02Indexing codes associated with the analysed material
    • G01N2291/028Material parameters
    • G01N2291/02836Flow rate, liquid level
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/02Indexing codes associated with the analysed material
    • G01N2291/028Material parameters
    • G01N2291/02872Pressure
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K2210/00Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
    • G10K2210/10Applications
    • G10K2210/107Combustion, e.g. burner noise control of jet engines
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K2210/00Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
    • G10K2210/10Applications
    • G10K2210/112Ducts

Definitions

  • the present invention relates to an arrangement of acoustic noise reduction equipment comprising an electronic controller, at least one acoustic sensor and an acoustic output device, the electronic controller being arranged to reduce oscillations in a flow system due to an acoustic source which generates an acoustic wave field consisting of acoustic waves p+ travelling away from the acoustic source and reflected acoustic waves p- generated by reflection of said acoustic waves p+ and travelling towards the acoustic source.
  • Occurrence of acoustic resonance is, for example, well illustrated by a system called Rijke tube as is well known to persons skilled in the art.
  • a gas flow passes through a heated grid. Because of fluctuations of gas flow and heat flow, a sound at a certain frequency is generated in the tube.
  • Oscillations in flow systems are not limited to systems in which flows of gas and heat are combined.
  • piping systems with high (turbulent) gas flows may also show acoustic oscillations, due to coupling between the gas flow and an acoustic resonance.
  • active control methods allow for the reduction of oscillations in flow systems working under time-dependent conditions.
  • Active acoustic noise reduction systems are used to reduce oscillations, in which the noise originated by the complete system is controlled as illustrated by the example of a combustion system as schematically shown in figure 1.
  • the noise of the complete combustion system 1 is measured by a sensor 2, placed on one side of a burner element 3.
  • the sensor may be an acoustic sensor like a microphone, or, as shown by Billoud in the case of combustion systems, a microphone combined with an optical sensor.
  • the received signal(s) is (are) processed by a controller 4 which outputs a correction signal to an amplifier 5 connected to a loudspeaker 6 placed on a duct 7 on the other side of the burner element 3, opposite to the location of the sensor 2.
  • the acoustic wave generated by the amplifier from the correction signal has such characteristics of amplitude and phase that it will reduce the noise generated by the complete combustion system 1.
  • control in this set-up is difficult due to the non-linear acoustic properties of the burner element 3.
  • the controller controls the noise output of the system by actively perturbing the gas composition or gas flow used in the burner element 3. Still, the non-linear acoustic properties of the burner 3 complicate the control of noise reduction.
  • Adaptive active control is known from the prior art as described e.g. by the paper of G. Billoud et al.
  • a signal from a sensor monitoring a combustion process is used as input in an adaptive filter.
  • the adaptive filter outputs a correction signal to an actuator that controls the combustion process in order to optimise the process and for example, to reduce flow oscillations.
  • the electronic controller is arranged to determine estimated acoustic waves w+ and estimated reflected acoustic waves w- from the characteristics of the measured sensor signals.
  • the electronic controller comprises an Infinite Impulse Response controller, of which the coefficients are adapted by a stochastic gradient algorithm filter.
  • the electronic controller is arranged to compute and to generate the correction signal as the output of the adaptive Infinite Impulse Response filter receiving estimated acoustic waves w+ as input, the stochastic gradient algorithm filter receiving the estimated reflected acoustic waves w- as error signal input.
  • the electronic controller is arranged to use prediction error update rules in the stochastic gradient algorithm filter.
  • the acoustic sensors and the acoustic output device actuator are located at only one side of the acoustic source like e.g., a burner element in a heating system.
  • the arrangement of the present invention strongly simplifies the acoustic resonance reduction control. Only the acoustic wave field at the locations of the acoustic sensors comprising both the acoustic wave p+ and the reflected acoustic wave p- (in summation with the wave generated by the acoustic output device) is monitored.
  • the arrangement of the present invention can have relatively small dimensions, which allows the (retrofit) installation of the arrangement on small-size high efficiency heating systems for domestic heating in an advantageous manner.
  • the arrangement of the present invention can advantageously be placed at any desired location in a flow system irrespective of the local flow direction.
  • the present invention also relates to a method for acoustic noise reduction control comprising the steps of:
  • the present invention also relates to a method, including the step of determining estimate acoustic waves w+ and estimated reflected acoustic waves w-from the characteristics of the measured sensor signals.
  • the present invention relates to a method, including the step of computing the correction signal which is the output of an adaptive Infinite Impulse Response controller, in which the coefficients are adapted by a stochastic gradient algorithm filter.
  • the present invention relates to a method, including the step of computing and generating the correction signal as the output of the adaptive Infinite Impulse Response filter receiving estimated acoustic waves w+ as input, the stochastic gradient algorithm filter receiving the estimated reflected acoustic waves w- as error signal input.
  • the present invention also relates to a computer program product to be loaded by the processing means of the arrangement mentioned above, and arranged to provide the aforementioned arrangement with the following capacities:
  • the invention relates to a data carrier provided with a computer program product as defined above.
  • FIG. 2a shows a schematic overview of an arrangement of an acoustic noise reduction system in accordance with the present invention.
  • an acoustic sensor array 12 comprising of at least two sensors 13, 14 is placed between an acoustic source 15 like e.g. a burner element 3, and an acoustic output device 16, which is located in one of the walls 10 of flow system 11.
  • the sensors 13, 14 are connected to an acoustic controller 17, which is connected to the acoustic output device 16.
  • a gas flows through the flow system 11, as indicated by arrow 25.
  • the gas flow may be oppositely directed.
  • the sensors 13, 14 and the output device 16 are preferably placed in such a way that the gas flow 25 is not substantially obstructed and substantially no increase of the flow resistance occurs.
  • the acoustic source 15 Due to the occurrence of flow fluctuations, the acoustic source 15 generates noise, i.e., acoustic waves propagating through the flow system 11 as denoted in figure 2 by arrow p+. In the flow system the acoustic waves p+ are reflected, thereby creating other acoustic waves, indicated in figure 2 by arrow p-.
  • the acoustic waves p-interfere with the waves p+ of acoustic source 15 and due to the relation of their phase the acoustic waves are amplified, acoustic resonance occurs in the flow system.
  • the acoustic sensors 13, 14 measure the summation of the acoustic pressure p at the respective locations of sensors 13, 14 and produce electrical signals s1 and s2, respectively.
  • the controller 17 processes signals s1 and s2 from the sensor 13, 14. Since the acoustic pressure in the flow system 11 is known at the locations of the sensors 13, 14, the controller 17 is able to compute estimates of the two contributing waves viz. w+ and w-.
  • the controller 17 uses the characteristic values computed for estimated acoustic waves w- to output a correction signal 18 to the acoustic output device 16, with such characteristics that the acoustic wave generated by the acoustic output device 16, actively minimises the acoustic waves p-travelling towards the acoustic source 15.
  • an algorithm is implemented on the controller 17 which adaptively tunes the characteristics of the controller. In this arrangement, the acoustic losses from the system are increased and acoustic resonance is reduced.
  • the noise level is low, in this arrangement only small power is needed by the acoustic output device 16 to keep the noise level constant.
  • the sensor array 12 comprising at least two sensors 13, 14 is always positioned between the acoustic source 15 and the acoustic output device 16 that minimises the acoustic waves p-.
  • the sensors 13, 14 are omnidirectional, regarding the collection of information on the acoustic wave field.
  • the acoustic source is located in between the sensor and the actuator. In such a set-up the acoustic transfer function from actuator 16 to sensors 13, 14 is influenced by the acoustic source (like a burner element 3) which has highly non-linear and possibly unsteady acoustic properties.
  • this arrangement causes the adaptive control to be difficult since the control solution depends on the non-linear and possibly unsteady behaviour of the acoustic source 15.
  • only the area between sensors 13, 14 and actuator 16 is essential and the control solution is not influenced by the behaviour of the acoustic source.
  • FIG. 2b shows a schematic overview of an arrangement of the acoustic signal controller 17 in accordance with the present invention.
  • controller sensor electronics 47 are connected to an adaptive Infinite Impulse Response (IIR) filter processor means 19 and a filter updating element 20.
  • the signal s1 and s2 are fed to the controller sensor electronics 47, which computes the estimates of the contributing waves viz. w+ and w-.
  • the estimated acoustic waves w+ and the estimated reflected acoustic waves w- are fed to the adaptive MR filter processor means 19.
  • the signal of waves w+ is fed into the IIR filter 19.
  • the waves w- control the output correction signal 18 of the IIR filter 19.
  • FIG 3 a schematic overview of a further embodiment of an acoustic noise reduction system in accordance to the present invention is shown in a branching section of a piping system 21 comprising a main duct 22 and a branching duct 23.
  • oscillations can occur due to interference of flow fluctuations between a main duct 22 and a branching duct 23.
  • an acoustic source 15 is located at the beginning of branch 24.
  • the direction of the gas flow is indicated by arrow 25.
  • the acoustic noise reduction system in accordance with the present invention can be located in three different locations: upstream from (position a), downstream from (b) or in the branching duct (c).
  • FIG. 4 shows a schematic overview of an embodiment of controller arrangement 40 comprising processor means 41 with peripherals.
  • the processor means 41 is connected to memory units 42, 43, 44, 45 which store instructions and data, an I/O connection 46 for network access, controller sensor electronics 47, wave generator 48, amplifier 56, one or more reading units 49 (to read, e.g., floppy disks 50, CD ROM's and/or DVD's 51, etc.), a keyboard 52 and a mouse 53 as input devices, and as output devices, a display 54 and a printer 55.
  • the memory units shown comprise RAM 42, (E)EPROM 43, ROM 44 and hard disk 45. However, it should be understood that there may be provided more and/or other memory units known to persons skilled in the art. Moreover, one or more of them may be physically located remote from the processor means 41, if required.
  • the processor means 41 are shown as one box, however, they may comprise several processing units functioning in parallel or controlled by one main processor, that may be located remote from one another, as is known to persons skilled in the art. Moreover, other input/output devices (e.g., a touch screen) than those shown (i.e., 51, 52, 53, 54) may be provided.
  • the controller electronics processing means 47 receives the electrical signals s1 and s2 from sensors 13, 14 and computes the characteristics of the estimated acoustic waves w+ and estimated reflected acoustic waves w-.
  • the obtained values of wave w+ are used as an input signal to the processing means 47 such that the processing means 47 also functions as the IIR filter 19 in conjunction with the adaptive filter element 20 to produce a correction signal 18.
  • an adaptive feedforward controller is constructed as w+ contains advanced information of w-.
  • Wave generator 48 produces the correction signal 18, which is amplified by amplifier 56 and sent to acoustic output device 16 in order to generate the desired acoustic wave to actively minimise acoustic waves p-.
  • the functions of controller electronics 47 and wave generator 48 may be combined in a single signal processing unit. Also, the functions of controller electronics 47 and wave generator 48 may be incorporated in the processing means 41.
  • the controller 17 possesses the characteristics of an Infinite Impulse Response controller, of which the coefficients are adapted by a stochastic gradient algorithm. To improve the algorithm's performance prediction error update rules are applied.
  • the adaptive control algorithm is based on a procedure for explicit criterion optimisation, described for example, in a paper by N.J. Doelman, "Adaptive and robust systems for the active control of noise and vibration", Proceedings Adaptronic 1999, pp. 72-81, 1999.
  • Figure 5 shows exemplary results of an experiment, in which the sound level in a combustion system was measured as a function of time, with and without the application of an acoustic noise reduction system in accordance with the present invention.
  • the measured pressure level is plotted as a function of time.
  • the grey line depicts the noise level without the application of the acoustic noise reduction system of the present invention
  • the black line depicts the noise level when the acoustic noise reduction system is used.
  • the gas flow 25 is opened after 17 s and the burner element 3 ignited, as indicated by arrow 61.
  • a first instability occurs between 17 and 21 s. Due to heating of the combustion system, the instability reduces to a minimum after 21 s (indicated by arrow 62). Between 21 and 25 s, the noise level increases again due to a second instability of the flow system at higher temperature. In this example the instability disappears after 25 s, but as known to persons skilled in the art, oscillations in flow/combustion systems may exist for longer time intervals, even as long as the full time the flow/combustion system is in operation.
  • the noise level remains at low level after ignition of the combustion system. Following the black line in the graph, at the opening of the gas flow 25 and the ignition of the burner element 3 after 17 s, only a short transient is shown in the noise level.
  • the signal before and after ignition is mainly produced by the pressure fluctuations at the sensor that are induced by the turbulence in the flow.
  • the size of the acoustic noise reduction system can be relatively small.
  • an arrangement of the present invention can be easily installed onto a small-size high flow systems.
  • the acoustic noise reduction system may be applied in a small-size high efficiency combustion system for domestic heating 68.
  • a burner element 3 is installed on top of a heat exchanger 75.
  • a fan 73 generates a forced supply of air from an inlet duct 72.
  • a condensation outlet 77 is located below a heat exchanger 75 to remove water, formed in the combustion process, that precipitated on the heat exchanger 75. Residual gases are removed from the system 68 through an exhaust outlet 76.
  • control system can be placed in one of a number of preferred locations, due to its small size.
  • the control system may be placed at the inlet duct 71, even in the duct 72 before the inlet fan 73.
  • an additional tube comprising the sensor array 12 and the output device 16 may be positioned at a location 74 above the burner element 3.
  • the system can be located under the heat exchanger 75, at the outlet duct 76, or at the condensation outlet 77. Since the acoustic noise reduction system actively increases acoustic losses, the noise level in the combustion system can be strongly suppressed.

Abstract

An arrangement of acoustic noise reduction equipment including an electronic controller (17), acoustic sensors (13, 14), and an acoustic output device (16), the controller being connected to the sensors (13, 14) and the output device (16), the latter two located in an enclosure, in which due to fluctuation of a gaseous flow an acoustic source (15) creates oscillations including acoustic waves (P+) and (P-) propagating from, and towards the source (15), respectively, the sensors (13, 14) being positioned between the source (15) and the output device (16), and receiving signals (s1) and (s2) from the wave field including waves (P+) and (P-), the controller (17) receiving signals (s1) and (s2) form the sensors (13, 14), being arranged to compute and generate a correction signal (18) based on characteristics of estimated acoustic waves (W+ and W-), and being arranged to transmit the correction signal (18) to output (16) to actively minimise wave (P-).

Description

Field of the invention
The present invention relates to an arrangement of acoustic noise reduction equipment comprising an electronic controller, at least one acoustic sensor and an acoustic output device, the electronic controller being arranged to reduce oscillations in a flow system due to an acoustic source which generates an acoustic wave field consisting of acoustic waves p+ travelling away from the acoustic source and reflected acoustic waves p- generated by reflection of said acoustic waves p+ and travelling towards the acoustic source.
Prior Art
In flow systems for a gaseous medium, transport of a gas occurs through a confined space separated from the surrounding environment. Often, the gas flow is combined with a combustion process in which a heat flow is created. In such closed combustion systems, the state of the flows is known to be inherently unstable. Fluctuations in one flow may influence the other flow, for example, the gas flow may cause a fluctuation in the heat flow, which will locally change the density of the gas causing again a fluctuation in the gas flow. This phenomenon may be self-amplifying, and may cause an acoustic source in the system due to resonance between the fluctuations in gas flow and heat flow. Occurrence of acoustic resonance is, for example, well illustrated by a system called Rijke tube as is well known to persons skilled in the art. In the tube, a gas flow passes through a heated grid. Because of fluctuations of gas flow and heat flow, a sound at a certain frequency is generated in the tube.
Oscillations in flow systems are not limited to systems in which flows of gas and heat are combined. For example, piping systems with high (turbulent) gas flows may also show acoustic oscillations, due to coupling between the gas flow and an acoustic resonance.
An effect in closed flow systems, in addition to sound generation through acoustic resonance is the generation of pressure variations due to the flow fluctuations. In a closed system which is in acoustic resonance, the performance of the system may be strongly reduced, because of the pressure variations in the system. Moreover, failure of a system can occur by mechanical damage due to pressure oscillations.
Arrangements of acoustic noise reduction systems from the prior art, are described, for example, in a paper by K.R. McManus et al. entitled "A review of active control of combustion instabilities", in Progress in Energy and Combustion Science, Vol.19, pp. 1-30, 1993. Another overview describing the prior art is a paper of G.Billoud et al., "Adaptive active control of combustion instabilities", Combustion Science and Technology, Vol. 18, pp. 257-283, 1992.
In the prior art, oscillations in a flow system are usually prevented by passive control through hardware design and modification of flow systems. However, due to the inherent instability of these systems, these precautions are only effective in a narrow range of well-defined conditions of gas flow, gas temperature, and pressure. In a high efficiency combustion system in heating installations, for example, the gas flow (and the heat flow) are usually modulated as a function of the required heat output Here, the modulated gas flow may change the acoustic properties of the system disadvantageously. Similarly, variables as inlet gas temperature and gas composition may influence the acoustic properties as well.
From the prior art also several active control methods to reduce the noise production, are known. Advantageously, active control methods allow for the reduction of oscillations in flow systems working under time-dependent conditions. Active acoustic noise reduction systems are used to reduce oscillations, in which the noise originated by the complete system is controlled as illustrated by the example of a combustion system as schematically shown in figure 1. In such an embodiment, the noise of the complete combustion system 1 is measured by a sensor 2, placed on one side of a burner element 3. The sensor may be an acoustic sensor like a microphone, or, as shown by Billoud in the case of combustion systems, a microphone combined with an optical sensor. The received signal(s) is (are) processed by a controller 4 which outputs a correction signal to an amplifier 5 connected to a loudspeaker 6 placed on a duct 7 on the other side of the burner element 3, opposite to the location of the sensor 2. The acoustic wave generated by the amplifier from the correction signal has such characteristics of amplitude and phase that it will reduce the noise generated by the complete combustion system 1. However, control in this set-up is difficult due to the non-linear acoustic properties of the burner element 3. In an alternative embodiment, in stead of using an acoustic correction signal, the controller controls the noise output of the system by actively perturbing the gas composition or gas flow used in the burner element 3. Still, the non-linear acoustic properties of the burner 3 complicate the control of noise reduction.
Adaptive active control is known from the prior art as described e.g. by the paper of G. Billoud et al. In adaptive active control arrangements, a signal from a sensor monitoring a combustion process is used as input in an adaptive filter. Subsequently, the adaptive filter outputs a correction signal to an actuator that controls the combustion process in order to optimise the process and for example, to reduce flow oscillations.
Also known from the prior art, are methods to reduce oscillations in flow systems by an increase of the flow resistance. Disadvantageously, in combustion systems this step reduces the combustion efficiency of the system. Obviously, in systems for gas distribution and gas transport an increase of the flow resistance is also unfavourable.
Summary of the invention
It is an object of the present invention to provide an arrangement and a method to prevent noise production and pressure variations produced by an acoustic source originating from fluctuations of the flows in the flow system, without a reduction of the efficiency of the flow system, and also without the need to take into account non-linear acoustic properties of the acoustic source in the flow system.
This object is obtained in an arrangement as defined in the outset, characterised in that:
  • the arrangement comprises at least two acoustic sensors;
  • the at least two sensors and the acoustic output device being located in an enclosure;
  • the at least two acoustic sensors are arranged to be positioned, in use, between the acoustic source and the acoustic output device, and to receive, in use, the acoustic wave field;
  • the electronic controller is arranged to carry out the following steps:
    • to receive sensor signals from the at least two sensors,
    • to compute and to generate, in use, a correction signal based on characteristics of the measured sensor signals,
    • to transmit, in use, the correction signal to the output device in order to minimise the reflected acoustic waves p- by the output device.
Moreover, in the arrangement of the present invention, the electronic controller is arranged to determine estimated acoustic waves w+ and estimated reflected acoustic waves w- from the characteristics of the measured sensor signals. Also, the electronic controller comprises an Infinite Impulse Response controller, of which the coefficients are adapted by a stochastic gradient algorithm filter.
Furthermore, in the present invention, the electronic controller is arranged to compute and to generate the correction signal as the output of the adaptive Infinite Impulse Response filter receiving estimated acoustic waves w+ as input, the stochastic gradient algorithm filter receiving the estimated reflected acoustic waves w- as error signal input.
Also, the electronic controller is arranged to use prediction error update rules in the stochastic gradient algorithm filter.
In the arrangement of the present invention the acoustic sensors and the acoustic output device actuator are located at only one side of the acoustic source like e.g., a burner element in a heating system. Advantageously, in such a flow system the arrangement of the present invention strongly simplifies the acoustic resonance reduction control. Only the acoustic wave field at the locations of the acoustic sensors comprising both the acoustic wave p+ and the reflected acoustic wave p- (in summation with the wave generated by the acoustic output device) is monitored.
Moreover, in the arrangement of the present invention the power required to reduce the noise level is relatively low. Therefore, in a preferred embodiment, the arrangement of the present invention can have relatively small dimensions, which allows the (retrofit) installation of the arrangement on small-size high efficiency heating systems for domestic heating in an advantageous manner.
Furthermore, the arrangement of the present invention can advantageously be placed at any desired location in a flow system irrespective of the local flow direction.
The present invention also relates to a method for acoustic noise reduction control comprising the steps of:
  • to receive the acoustic wave field by at least two acoustic sensors, positioned between the acoustic source and the acoustic output device;
  • to receive by the electronic controller sensor signals from the at least two sensors, and
  • to compute and to generate by the electronic controller a correction signal based on characteristics of the measured sensor signals;
  • to transmit by the electronic controller the correction signal to the acoustic output device in order to minimise the reflected acoustic waves p- by the acoustic output device.
Moreover, the present invention also relates to a method, including the step of determining estimate acoustic waves w+ and estimated reflected acoustic waves w-from the characteristics of the measured sensor signals.
Further, the present invention relates to a method, including the step of computing the correction signal which is the output of an adaptive Infinite Impulse Response controller, in which the coefficients are adapted by a stochastic gradient algorithm filter.
Also, the present invention relates to a method, including the step of computing and generating the correction signal as the output of the adaptive Infinite Impulse Response filter receiving estimated acoustic waves w+ as input, the stochastic gradient algorithm filter receiving the estimated reflected acoustic waves w- as error signal input.
The present invention also relates to a computer program product to be loaded by the processing means of the arrangement mentioned above, and arranged to provide the aforementioned arrangement with the following capacities:
  • to receive the acoustic wave field by at least two acoustic sensors, positioned between the acoustic source and the acoustic output device;
  • to receive by the electronic controller sensor signals from the at least two sensors, and
  • to compute and to generate by the electronic controller a correction signal based on characteristics of the measured sensor signals;
  • to transmit by the electronic controller the correction signal to the acoustic output device in order to minimise the reflected acoustic waves p- by the acoustic output device.
Finally, the invention relates to a data carrier provided with a computer program product as defined above.
Brief description of the drawings
  • Figure 1 schematically shows an arrangement of an acoustic noise reduction system for noise reduction in a combustion system as known from the prior art;
  • Figure 2a shows a schematic overview of an arrangement of an acoustic noise reduction system in accordance with the present invention;
  • Figure 2b shows a schematic overview of an arrangement of an acoustic signal controller in accordance with the present invention;
  • Figure 3 shows an arrangement of an acoustic noise reduction system in accordance with the present invention, in which the relations between the flows and the locations of the acoustic sensors are illustrated;
  • Figure 4 shows a schematic overview of a controller arrangement of the acoustic noise reduction system in accordance with the present invention;
  • Figure 5 shows exemplary results of a experiment, in which the sound level in a combustion system was measured as a function of time, with and without the application of an acoustic noise reduction system in accordance with the present invention;
  • Figure 6 shows a schematic overview of a small-size high efficiency combustion system for domestic heating, in which preferred locations for installation of an arrangement of an acoustic noise reduction system in accordance with the present invention are shown.
  • Description of preferred embodiment
    Below, the invention will be explained with reference to some drawings, which are intended for illustration purposes only and not to limit the scope of protection as defined in the accompanying claims.
    Figure 2a shows a schematic overview of an arrangement of an acoustic noise reduction system in accordance with the present invention. In a flow system 11 with walls 10 an acoustic sensor array 12 comprising of at least two sensors 13, 14 is placed between an acoustic source 15 like e.g. a burner element 3, and an acoustic output device 16, which is located in one of the walls 10 of flow system 11. The sensors 13, 14 are connected to an acoustic controller 17, which is connected to the acoustic output device 16. In use, a gas flows through the flow system 11, as indicated by arrow 25. The gas flow may be oppositely directed.
    The sensors 13, 14 and the output device 16 are preferably placed in such a way that the gas flow 25 is not substantially obstructed and substantially no increase of the flow resistance occurs.
    Due to the occurrence of flow fluctuations, the acoustic source 15 generates noise, i.e., acoustic waves propagating through the flow system 11 as denoted in figure 2 by arrow p+. In the flow system the acoustic waves p+ are reflected, thereby creating other acoustic waves, indicated in figure 2 by arrow p-. When the acoustic waves p-interfere with the waves p+ of acoustic source 15 , and due to the relation of their phase the acoustic waves are amplified, acoustic resonance occurs in the flow system.
    In the arrangement of the present invention, the acoustic sensors 13, 14 measure the summation of the acoustic pressure p at the respective locations of sensors 13, 14 and produce electrical signals s1 and s2, respectively. The controller 17 processes signals s1 and s2 from the sensor 13, 14. Since the acoustic pressure in the flow system 11 is known at the locations of the sensors 13, 14, the controller 17 is able to compute estimates of the two contributing waves viz. w+ and w-. Using the characteristic values computed for estimated acoustic waves w-, the controller 17 outputs a correction signal 18 to the acoustic output device 16, with such characteristics that the acoustic wave generated by the acoustic output device 16, actively minimises the acoustic waves p-travelling towards the acoustic source 15. To this end, an algorithm is implemented on the controller 17 which adaptively tunes the characteristics of the controller. In this arrangement, the acoustic losses from the system are increased and acoustic resonance is reduced. Advantageously, when the noise level is low, in this arrangement only small power is needed by the acoustic output device 16 to keep the noise level constant.
    In the arrangement of the present invention, the sensor array 12 comprising at least two sensors 13, 14 is always positioned between the acoustic source 15 and the acoustic output device 16 that minimises the acoustic waves p-. The sensors 13, 14 are omnidirectional, regarding the collection of information on the acoustic wave field.
    This arrangement in which sensors 13, 14 and actuator 16 are located at the same side of an acoustic source 15 like a burner element 3, also simplifies the acoustic resonance reduction control in a flow system 11. In systems known from the prior art, the acoustic source is located in between the sensor and the actuator. In such a set-up the acoustic transfer function from actuator 16 to sensors 13, 14 is influenced by the acoustic source (like a burner element 3) which has highly non-linear and possibly unsteady acoustic properties. As known to those skilled in the art, this arrangement causes the adaptive control to be difficult since the control solution depends on the non-linear and possibly unsteady behaviour of the acoustic source 15. In the arrangement of the present invention, only the area between sensors 13, 14 and actuator 16 is essential and the control solution is not influenced by the behaviour of the acoustic source.
    Figure 2b shows a schematic overview of an arrangement of the acoustic signal controller 17 in accordance with the present invention. In the controller 17 controller sensor electronics 47 are connected to an adaptive Infinite Impulse Response (IIR) filter processor means 19 and a filter updating element 20. The signal s1 and s2 are fed to the controller sensor electronics 47, which computes the estimates of the contributing waves viz. w+ and w-. Subsequently, the estimated acoustic waves w+ and the estimated reflected acoustic waves w- are fed to the adaptive MR filter processor means 19. The signal of waves w+ is fed into the IIR filter 19. Through a filter updating element 20, the waves w- control the output correction signal 18 of the IIR filter 19.
    In figure 3 a schematic overview of a further embodiment of an acoustic noise reduction system in accordance to the present invention is shown in a branching section of a piping system 21 comprising a main duct 22 and a branching duct 23. In such a system, oscillations can occur due to interference of flow fluctuations between a main duct 22 and a branching duct 23. Then, an acoustic source 15 is located at the beginning of branch 24. The direction of the gas flow is indicated by arrow 25. The acoustic noise reduction system in accordance with the present invention can be located in three different locations: upstream from (position a), downstream from (b) or in the branching duct (c).
    Figure 4 shows a schematic overview of an embodiment of controller arrangement 40 comprising processor means 41 with peripherals. The processor means 41 is connected to memory units 42, 43, 44, 45 which store instructions and data, an I/O connection 46 for network access, controller sensor electronics 47, wave generator 48, amplifier 56, one or more reading units 49 (to read, e.g., floppy disks 50, CD ROM's and/or DVD's 51, etc.), a keyboard 52 and a mouse 53 as input devices, and as output devices, a display 54 and a printer 55.
    The memory units shown comprise RAM 42, (E)EPROM 43, ROM 44 and hard disk 45. However, it should be understood that there may be provided more and/or other memory units known to persons skilled in the art. Moreover, one or more of them may be physically located remote from the processor means 41, if required. The processor means 41 are shown as one box, however, they may comprise several processing units functioning in parallel or controlled by one main processor, that may be located remote from one another, as is known to persons skilled in the art. Moreover, other input/output devices (e.g., a touch screen) than those shown (i.e., 51, 52, 53, 54) may be provided.
    In this embodiment, analysing the acoustic signals and generating the correction signal are performed by separate processing means: the controller electronics processing means 47 receives the electrical signals s1 and s2 from sensors 13, 14 and computes the characteristics of the estimated acoustic waves w+ and estimated reflected acoustic waves w-. Preferably, the obtained values of wave w+ are used as an input signal to the processing means 47 such that the processing means 47 also functions as the IIR filter 19 in conjunction with the adaptive filter element 20 to produce a correction signal 18. In this way an adaptive feedforward controller is constructed as w+ contains advanced information of w-. Wave generator 48 produces the correction signal 18, which is amplified by amplifier 56 and sent to acoustic output device 16 in order to generate the desired acoustic wave to actively minimise acoustic waves p-. In other embodiments, the functions of controller electronics 47 and wave generator 48 may be combined in a single signal processing unit. Also, the functions of controller electronics 47 and wave generator 48 may be incorporated in the processing means 41.
    In a preferred embodiment, the controller 17 possesses the characteristics of an Infinite Impulse Response controller, of which the coefficients are adapted by a stochastic gradient algorithm. To improve the algorithm's performance prediction error update rules are applied. The adaptive control algorithm is based on a procedure for explicit criterion optimisation, described for example, in a paper by N.J. Doelman, "Adaptive and robust systems for the active control of noise and vibration", Proceedings Adaptronic 1999, pp. 72-81, 1999.
    Figure 5 shows exemplary results of an experiment, in which the sound level in a combustion system was measured as a function of time, with and without the application of an acoustic noise reduction system in accordance with the present invention.
    In the graph of figure 5 the measured pressure level is plotted as a function of time. The grey line depicts the noise level without the application of the acoustic noise reduction system of the present invention, the black line depicts the noise level when the acoustic noise reduction system is used. In both experiments the gas flow 25 is opened after 17 s and the burner element 3 ignited, as indicated by arrow 61.
    As shown by the grey line in the graph of figure 5, without the acoustic noise reduction system a first instability occurs between 17 and 21 s. Due to heating of the combustion system, the instability reduces to a minimum after 21 s (indicated by arrow 62). Between 21 and 25 s, the noise level increases again due to a second instability of the flow system at higher temperature. In this example the instability disappears after 25 s, but as known to persons skilled in the art, oscillations in flow/combustion systems may exist for longer time intervals, even as long as the full time the flow/combustion system is in operation.
    With the acoustic noise reduction system, the acoustic oscillations are strongly suppressed: the noise level remains at low level after ignition of the combustion system. Following the black line in the graph, at the opening of the gas flow 25 and the ignition of the burner element 3 after 17 s, only a short transient is shown in the noise level. The signal before and after ignition is mainly produced by the pressure fluctuations at the sensor that are induced by the turbulence in the flow.
    Advantageously, because the electrical power needed by the acoustic output device 16 to produce an acoustic correction signal and to minimise the resonance is low, the size of the acoustic noise reduction system can be relatively small. Hence, an arrangement of the present invention can be easily installed onto a small-size high flow systems. In one preferred embodiment as shown in figure 6, the acoustic noise reduction system may be applied in a small-size high efficiency combustion system for domestic heating 68. In an enclosure 70 a burner element 3 is installed on top of a heat exchanger 75. A fan 73 generates a forced supply of air from an inlet duct 72. Below a heat exchanger 75, a condensation outlet 77 is located to remove water, formed in the combustion process, that precipitated on the heat exchanger 75. Residual gases are removed from the system 68 through an exhaust outlet 76.
    In such a system the control system can be placed in one of a number of preferred locations, due to its small size. The control system may be placed at the inlet duct 71, even in the duct 72 before the inlet fan 73. Also an additional tube comprising the sensor array 12 and the output device 16 may be positioned at a location 74 above the burner element 3. Alternatively, the system can be located under the heat exchanger 75, at the outlet duct 76, or at the condensation outlet 77. Since the acoustic noise reduction system actively increases acoustic losses, the noise level in the combustion system can be strongly suppressed.

    Claims (19)

    1. Acoustic noise reduction equipment comprising an electronic controller (17), at least one acoustic sensor (13) and an acoustic output device (16), said electronic controller (17) being arranged to reduce oscillations in a flow system (11) due to an acoustic source (15) which generates an acoustic wave field consisting of acoustic waves (p+) travelling away from the acoustic source (15) and reflected acoustic waves (p-) generated by reflection of said acoustic waves (p+) and travelling towards the acoustic source (15) , characterised in that
      the arrangement comprises at least two acoustic sensors (13, 14);
      the at least two sensors (13, 14) and the acoustic output device (16) being located in an enclosure (10);
      said at least two acoustic sensors (13, 14) are arranged to be positioned, in use, between said acoustic source (15) and said acoustic output device (16), and to receive, in use, said acoustic wave field;
      said electronic controller (17) is arranged to carry out the following steps:
      to receive sensor signals (s1, s2) from said at least two sensors (13, 14),
      to compute and to generate, in use, a correction signal (18) based on characteristics of said measured sensor signals (s1, s2),
      to transmit, in use, said correction signal (18) to said output device (16) in order to minimise said reflected acoustic waves (p-) by said output device (16).
    2. Equipment in accordance with claim 1, characterised in that said electronic controller (17) determines estimated acoustic waves (w+) and estimated reflected acoustic waves (w-) from said characteristics of said measured sensor signals (s1, s2).
    3. Equipment in accordance with claim 1 or 2, characterised in that said electronic controller (17) comprises an adaptive Infinite Impulse Response controller (19), having coefficients which are adapted by a stochastic gradient algorithm filter (20).
    4. Equipment in accordance with claim 3, characterised in that said electronic controller (17) computes and generates said correction signal (18) as the output of said adaptive Infinite Impulse Response filter (19) receiving estimated acoustic waves (w+) as input, said stochastic gradient algorithm filter (20) receiving said estimated reflected acoustic waves (w-) as error signal input.
    5. Equipment in accordance with claim 4, characterised in that the electronic controller (17) is arranged to use prediction error update rules in the stochastic gradient algorithm filter (20).
    6. A method of controlling acoustic noise reduction equipment comprising an electronic controller (17), at least one acoustic sensor (13) and an acoustic output device (16), said electronic controller (17) being arranged to reduce oscillations in a flow system (11) due to an acoustic source (15) which generates an acoustic wave field consisting of acoustic waves (p+) travelling away from the acoustic source (15) and reflected acoustic waves (p-) generated by reflection of said acoustic waves (p+) and travelling towards the acoustic source (15),
      characterised in that the method carries out the following steps:
      to receive said acoustic wave field by at least two acoustic sensors (13, 14), positioned between said acoustic source (15) and said acoustic output device (16);
      to receive by said electronic controller (17) sensor signals (s1, s2) from said at least two sensors (13, 14), and
      to compute and to generate by said electronic controller (17) a correction signal (18) based on characteristics of said measured sensor signals (s1, s2);
      to transmit by said electronic controller (17) said correction signal (18) to said acoustic output device (16) in order to minimise said reflected acoustic waves (p-) by said acoustic output device (16).
    7. A method in accordance with claim 6, characterised in that the method includes the step of determining estimate acoustic waves (w+) and estimated reflected acoustic waves (w-) from said characteristics of said measured sensor signals (s1, s2).
    8. A method in accordance with claim 6 or 7, characterised in that the method includes the step of computing the correction signal (18) which is the output of an adaptive Infinite Impulse Response controller (19), in which the coefficients are adapted by a stochastic gradient algorithm filter (20).
    9. A method in accordance with claim 8, characterised in that the method includes the step of computing and generating said correction signal (18) as the output of said adaptive Infinite Impulse Response filter (19) receiving estimated acoustic waves (w+) as input, said stochastic gradient algorithm filter (20) receiving said estimated reflected acoustic waves (w-) as error signal input.
    10. A method in accordance with claim 9, characterised in that the method includes the step of using prediction error update rules in the stochastic gradient algorithm filter (20).
    11. An arrangement comprising acoustic noise reduction equipment according to any of the claims 1 - 5 and a flow arrangement in which, due to fluctuations of one or more gaseous flows, in use, an acoustic source (15) is created which generates said acoustic waves (p+).
    12. An arrangement in accordance with claim 11, characterised in that said arrangement is a combustion system (68).
    13. An arrangement in accordance with claim 11, characterised in that said arrangement is a piping system (21).
    14. A computer program product to be loaded by processing means (41,47) of acoustic noise reduction equipment comprising an electronic controller (17), at least one acoustic sensor (13) and an acoustic output device (16), said electronic controller (17) being arranged to reduce oscillations in a flow system (11) due to an acoustic source (15) which generates an acoustic wave field consisting of acoustic waves (p+) travelling away from the acoustic source (15) and reflected acoustic waves (p-) generated by reflection of said acoustic waves (p+) and travelling towards the acoustic source (15), characterised in that said computer program, after being loaded, is arranged to provide said acoustic noise reduction equipment with the following capacities:
      to receive said acoustic wave field by at least two acoustic sensors (13, 14), positioned between said acoustic source (15) and said acoustic output device (16);
      to receive by said electronic controller (17) sensor signals (s1, s2) from said at least two sensors (13, 14), and
      to compute and to generate by said electronic controller (17) a correction signal (18) based on characteristics of said measured sensor signals (s1, s2);
      to transmit by said electronic controller (17) said correction signal (18) to said acoustic output device (16) in order to minimise said reflected acoustic waves (p-) by said acoustic output device (16).
    15. A computer program product in accordance with claim 14, characterised in that the computer program is arranged to provide said electronic controller (17) with the capability to determine estimated acoustic waves (w+) and estimated reflected acoustic waves (w-) from said characteristics of said measured sensor signals (s1, s2).
    16. A computer program product in accordance with claim 14 or 15, characterised in that the computer program is arranged to provide said electronic controller (17) with the capability to compute said correction signal (18) as output of an adaptive Infinite Impulse Response controller (19), having coefficients which are adapted by a stochastic gradient algorithm filter (20).
    17. A computer program product in accordance with claim 16, characterised in that the computer program is arranged to provide said electronic controller (17) with the capability to compute and to generate said correction signal (18) as the output of said adaptive Infinite Impulse Response filter (19) receiving estimated acoustic waves (w+) as input, said stochastic gradient algorithm filter (20) receiving said estimated reflected acoustic waves (w-) as error signal input.
    18. A computer program product in accordance with claim 17, characterised in that the computer program provides the electronic controller (17) the capability to use prediction error update rules in the stochastic gradient algorithm filter (20).
    19. A data carrier provided with a computer program product as claimed in any of the claims 14-18.
    EP00980088A 2000-10-31 2000-10-31 Preventing oscillations in flow systems Expired - Lifetime EP1330814B1 (en)

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    PCT/NL2000/000782 WO2002037468A1 (en) 2000-10-31 2000-10-31 Preventing oscillations in flow systems

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    GB2446966B (en) * 2006-04-12 2010-07-07 Wolfson Microelectronics Plc Digital circuit arrangements for ambient noise-reduction
    US20130291552A1 (en) * 2012-05-03 2013-11-07 United Technologies Corporation Electrical control of combustion
    GB2519142B (en) * 2013-10-11 2016-09-28 Univ Manchester Signal processing system and method

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    US4677676A (en) * 1986-02-11 1987-06-30 Nelson Industries, Inc. Active attenuation system with on-line modeling of speaker, error path and feedback pack
    US5377275A (en) * 1992-07-29 1994-12-27 Kabushiki Kaisha Toshiba Active noise control apparatus
    JP3510427B2 (en) * 1996-08-15 2004-03-29 三菱重工業株式会社 Active sound absorbing wall
    US5832095A (en) * 1996-10-18 1998-11-03 Carrier Corporation Noise canceling system
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    AU2001217389A1 (en) 2002-05-15
    DE60016812D1 (en) 2005-01-20
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    ATE285107T1 (en) 2005-01-15
    JP2004529376A (en) 2004-09-24

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